Manual Data Validation & Annotation for ML Web App
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During the development of a Machine Learning web app, I conducted extensive data cleaning, feature engineering, and manual labeling of structured datasets. This process involved validating and annotating data to ensure high-quality inputs for model training. My work directly contributed to model accuracy and robust AI performance.
• Manually labeled and validated Kaggle house price prediction datasets.
• Applied stringent feature engineering to improve data quality.
• Utilized classification techniques for annotation.
• Gained hands-on experience applicable to real-world AI annotation workflows.
During the development of a Machine Learning web app, I conducted extensive data cleaning, feature engineering, and manual labeling of structured datasets. This process involved validating and annotating data to ensure high-quality inputs for model training. My work directly contributed to model accuracy and robust AI performance. • Manually labeled and validated Kaggle house price prediction datasets. • Applied stringent feature engineering to improve data quality. • Utilized classification techniques for annotation. • Gained hands-on experience applicable to real-world AI annotation workflows.
2025 - 2025